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The Quantum Approximate Optimization Algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems.
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Global optimization by basin-hopping and the lowest energy structures of lennard-jones clusters containing up to 110 atoms
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
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Differential evolution: a practical approach to global optimization
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Efficient quantum state tomography
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Jasper Snoek, Hugo Larochelle, and Ryan P. Adams · 2012
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A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod R. McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J. Love, Alán Aspuru-Guzik, and Jeremy L. O’Brien · 2014
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A quantum approximate optimization algorithm, 2014
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
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The theory of variational hybrid quantum-classical algorithms
Jarrod R. McClean, Jonathan Romero, Ryan Babbush, and Alán Aspuru-Guzik · 2016
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Training a quantum optimizer
Dave Wecker, Matthew B. Hastings, and Matthias Troyer · 2016
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Taking the human out of the loop: A review of Bayesian optimization
Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, and Nando de Freitas · 2016
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Practical optimization for hybrid quantum-classical algorithms, 2017
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Quantum optimization using variational algorithms on near-term quantum devices
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Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
Matthew P. Harrigan, Kevin J. Sung, Matthew Neeley, Kevin J. Satzinger, Frank Arute, Kunal Arya, Juan Atalaya, Joseph C. Bardin, Rami Barends, Sergio Boixo, and et al · 2021
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Classical variational simulation of the quantum approximate optimization algorithm
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Minimizing estimation runtime on noisy quantum computers
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Cost function dependent barren plateaus in shallow parametrized quantum circuits
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Quantum approximate optimization algorithm for maxcut: A fermionic view
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A tutorial on Bayesian optimization, 2018
Peter I. Frazier · 2018
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Quantum annealing: a journey through digitalization, control, and hybrid quantum variational schemes
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Training of quantum circuits on a hybrid quantum computer
D. Zhu, N. M. Linke, M. Benedetti, K. A. Landsman, N. H. Nguyen, C. H. Alderete, A. Perdomo-Ortiz, N. Korda, A. Garfoot, C. Brecque, L. Egan, O. Perdomo, and C. Monroe · 2019
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Quantum approximate optimization algorithm: Performance, mechanism, and implementation on near-term devices
Leo Zhou, Sheng-Tao Wang, Soonwon Choi, Hannes Pichler, and Mikhail D. Lukin · 2020
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Effect of barren plateaus on gradient-free optimization
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Quantum optimization of maximum independent set using Rydberg atom arrays
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